12 results on '"Siegel, Lianne K"'
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2. Outpatient treatment of COVID-19 and incidence of post-COVID-19 condition over 10 months (COVID-OUT): a multicentre, randomised, quadruple-blind, parallel-group, phase 3 trial
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Anderson, Blake, Atwater, Riannon C, Avula, Nandini, Beckman, Kenny B, Belani, Hrishikesh K, Boulware, David R, Bramante, Carolyn T, Brea, Jannis, Broedlow, Courtney A, Buse, John B, Campora, Paula, Challa, Anup, Charles, Jill, Christensen, Grace, Christiansen, Theresa, Cohen, Ken, Connelly, Bo, Datta, Srijani, Deng, Nikita, Dunn, Alex T, Erickson, Spencer M, Fairbairn, Faith M, Fenno, Sarah L, Fraser, Daniel J, Fricton, Regina D, Griffiths, Gwen, Hagen, Aubrey A, Hartman, Katrina M, Hendrickson, Audrey F, Huling, Jared D, Ingraham, Nicholas E, Jeng, Arthur C, Johnson, Darrell M, Karger, Amy B, Klatt, Nichole R, Kuehl, Erik A, LaBar, Derek D, Lee, Samuel, Liebovitz, David M, Lindberg, Sarah, Luke, Darlette G, Machicado, Rosario, Mohamud, Zeinab, Murray, Thomas A, Ngonyama, Rumbidzai, Nicklas, Jacinda M, Odde, David J, Parrens, Elliott, Parra, Daniela, Patel, Barkha, Proper, Jennifer L, Pullen, Matthew F, Puskarich, Michael A, Rao, Via, Reddy, Neha V, Reddy, Naveen, Rypka, Katelyn J, Saveraid, Hanna G, Seloadji, Paula, Shahriar, Arman, Sherwood, Nancy, Siegart, Jamie L, Siegel, Lianne K, Simmons, Lucas, Sinelli, Isabella, Singh, Palak, Snyder, Andrew, Stauffer, Maxwell T, Thompson, Jennifer, Tignanelli, Christopher J, Tople, Tannon L, Tordsen, Walker J, Watson, Ray HB, Wu, Beiqing, Zaman, Adnin, Zolik, Madeline R, Zinkl, Lena, Anderson, Blake J, Thompson, Jennifer L, Pullen, Matthew, Wirtz, Esteban Lemus, Sherwood, Nancy E, Lindberg, Sarah M, Beckman, Kenneth B, Rose, Michael R, Mehta, Tanvi, Griffiths, Gwendolyn, and Bhat, Neeta S
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- 2023
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3. Choice of link functions for generalized linear mixed models in meta-analyses of proportions.
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Siegel, Lianne K, Silva, Milena, Lin, Lifeng, Chen, Yong, Liu, Yu-Lun, and Chu, Haitao
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- 2025
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4. Favorable Antiviral Effect of Metformin on SARS-CoV-2 Viral Load in a Randomized, Placebo-Controlled Clinical Trial of COVID-19.
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Bramante, Carolyn T, Beckman, Kenneth B, Mehta, Tanvi, Karger, Amy B, Odde, David J, Tignanelli, Christopher J, Buse, John B, Johnson, Darrell M, Watson, Ray H B, Daniel, Jerry J, Liebovitz, David M, Nicklas, Jacinda M, Cohen, Ken, Puskarich, Michael A, Belani, Hrishikesh K, Siegel, Lianne K, Klatt, Nichole R, Anderson, Blake, Hartman, Katrina M, and Rao, Via
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MORTALITY prevention ,METFORMIN ,VIRAL load ,EMERGENCY room visits ,HOSPITAL care ,FLUVOXAMINE ,REVERSE transcriptase polymerase chain reaction ,DESCRIPTIVE statistics ,ANTIVIRAL agents ,RACE ,ODDS ratio ,DRUG efficacy ,MACROLIDE antibiotics ,CONFIDENCE intervals ,COVID-19 - Abstract
Background Metformin has antiviral activity against RNA viruses including severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). The mechanism appears to be suppression of protein translation via targeting the host mechanistic target of rapamycin pathway. In the COVID-OUT randomized trial for outpatient coronavirus disease 2019 (COVID-19), metformin reduced the odds of hospitalizations/death through 28 days by 58%, of emergency department visits/hospitalizations/death through 14 days by 42%, and of long COVID through 10 months by 42%. Methods COVID-OUT was a 2 × 3 randomized, placebo-controlled, double-blind trial that assessed metformin, fluvoxamine, and ivermectin; 999 participants self-collected anterior nasal swabs on day 1 (n = 945), day 5 (n = 871), and day 10 (n = 775). Viral load was quantified using reverse-transcription quantitative polymerase chain reaction. Results The mean SARS-CoV-2 viral load was reduced 3.6-fold with metformin relative to placebo (−0.56 log
10 copies/mL; 95% confidence interval [CI], −1.05 to −.06; P =.027). Those who received metformin were less likely to have a detectable viral load than placebo at day 5 or day 10 (odds ratio [OR], 0.72; 95% CI,.55 to.94). Viral rebound, defined as a higher viral load at day 10 than day 5, was less frequent with metformin (3.28%) than placebo (5.95%; OR, 0.68; 95% CI,.36 to 1.29). The metformin effect was consistent across subgroups and increased over time. Neither ivermectin nor fluvoxamine showed effect over placebo. Conclusions In this randomized, placebo-controlled trial of outpatient treatment of SARS-CoV-2, metformin significantly reduced SARS-CoV-2 viral load, which may explain the clinical benefits in this trial. Metformin is pleiotropic with other actions that are relevant to COVID-19 pathophysiology. Clinical Trials Registration NCT04510194. [ABSTRACT FROM AUTHOR]- Published
- 2024
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5. Choice of link functions for generalized linear mixed models in meta-analyses of proportions
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Siegel, Lianne K, primary, Silva, Milena, additional, Lin, Lifeng, additional, Chen, Yong, additional, Liu, Yu-Lun, additional, and Chu, Haitao, additional
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- 2023
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6. Acute Appendicitis Treatment Strategies and Mortality Based on Critical Illness on Admission: An Observational Study.
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King, Samantha, Proper, Jennifer, Siegel, Lianne K., Ingraham, Nicholas E., Tignanelli, Christopher J., Chipman, Jeffrey G., and Ho, Jason
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- 2024
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7. Patient Outcomes and Unit Composition With Transition to a High-Intensity ICU Staffing Model: A Before-and-After Study
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Proper, Jennifer L., primary, Wacker, David A., additional, Shaker, Salma, additional, Heisdorffer, Jamie, additional, Shaker, Rami M., additional, Shiue, Larissa T., additional, Pendleton, Kathryn M., additional, Siegel, Lianne K., additional, and Reilkoff, Ronald A., additional
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- 2023
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8. Randomized Trial of Metformin, Ivermectin, and Fluvoxamine for Covid-19
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Bramante, Carolyn T., primary, Huling, Jared D., additional, Tignanelli, Christopher J., additional, Buse, John B., additional, Liebovitz, David M., additional, Nicklas, Jacinda M., additional, Cohen, Kenneth, additional, Puskarich, Michael A., additional, Belani, Hrishikesh K., additional, Proper, Jennifer L., additional, Siegel, Lianne K., additional, Klatt, Nichole R., additional, Odde, David J., additional, Luke, Darlette G., additional, Anderson, Blake, additional, Karger, Amy B., additional, Ingraham, Nicholas E., additional, Hartman, Katrina M., additional, Rao, Via, additional, Hagen, Aubrey A., additional, Patel, Barkha, additional, Fenno, Sarah L., additional, Avula, Nandini, additional, Reddy, Neha V., additional, Erickson, Spencer M., additional, Lindberg, Sarah, additional, Fricton, Regina, additional, Lee, Samuel, additional, Zaman, Adnin, additional, Saveraid, Hanna G., additional, Tordsen, Walker J., additional, Pullen, Matthew F., additional, Biros, Michelle, additional, Sherwood, Nancy E., additional, Thompson, Jennifer L., additional, Boulware, David R., additional, and Murray, Thomas A., additional
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- 2022
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9. Impact of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) Vaccination and Booster on Coronavirus Disease 2019 (COVID-19) Symptom Severity Over Time in the COVID-OUT Trial.
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Boulware, David R, Murray, Thomas A, Proper, Jennifer L, Tignanelli, Christopher J, Buse, John B, Liebovitz, David M, Nicklas, Jacinda M, Cohen, Kenneth, Puskarich, Michael A, Belani, Hrishikesh K, Siegel, Lianne K, Klatt, Nichole R, Odde, David J, Karger, Amy B, Ingraham, Nicholas E, Hartman, Katrina M, Rao, Via, Hagen, Aubrey A, Patel, Barkha, and Fenno, Sarah L
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IMMUNIZATION ,COVID-19 ,COVID-19 vaccines ,SEVERITY of illness index ,SECONDARY analysis - Abstract
Background Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) vaccination has decreasing protection from acquiring any infection with emergence of new variants; however, vaccination continues to protect against progression to severe coronavirus disease 2019 (COVID-19). The impact of vaccination status on symptoms over time is less clear. Methods Within a randomized trial on early outpatient COVID-19 therapy testing metformin, ivermectin, and/or fluvoxamine, participants recorded symptoms daily for 14 days. Participants were given a paper symptom diary allowing them to circle the severity of 14 symptoms as none (0), mild (1), moderate (2), or severe (3). This is a secondary analysis of clinical trial data on symptom severity over time using generalized estimating equations comparing those unvaccinated, SARS-CoV-2 vaccinated with primary vaccine series only, or vaccine-boosted. Results The parent clinical trial prospectively enrolled 1323 participants, of whom 1062 (80%) prospectively recorded some daily symptom data. Of these, 480 (45%) were unvaccinated, 530 (50%) were vaccinated with primary series only, and 52 (5%) vaccine-boosted. Overall symptom severity was least for the vaccine-boosted group and most severe for unvaccinated at baseline and over the 14 days (P <.001). Individual symptoms were least severe in the vaccine-boosted group including cough, chills, fever, nausea, fatigue, myalgia, headache, and diarrhea, as well as smell and taste abnormalities. Results were consistent over Delta and Omicron variant time periods. Conclusions SARS-CoV-2 vaccine-boosted participants had the least severe symptoms during COVID-19, which abated the quickest over time. Clinical Trial Registration. NCT04510194. [ABSTRACT FROM AUTHOR]
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- 2023
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10. Choice of link functions for generalized linear mixed models in meta-analyses of proportions
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Siegel, Lianne K, Silva, Milena, Lin, Lifeng, Chen, Yong, Liu, Yu-Lun, and Chu, Haitao
- Abstract
Two-step approaches for synthesizing proportions in a meta-analysis require first transforming the proportions to a scale where their distribution across studies can be approximated by a normal distribution. Commonly used transformations include the log, logit, arcsine, and Freeman-Tukey double-arcsine transformations. Alternatively, a generalized linear mixed model (GLMM) can be fit directly on the data using the exact binomial likelihood. Unlike popular two-step methods, this accounts for uncertainty in the within-study variances without a normal approximation and does not require an ad hoc correction for zero counts. However, GLMMs require choosing a link function; we illustrate how the AIC can be used to choose the best fitting link when different link functions give different results. We also highlight how misspecification of the link function can introduce bias; using an empirical sandwich estimator for the standard error may not sufficiently avoid undercoverage due to link function misspecification. We demonstrate the application of GLMMs and choice of link function using data from a systematic review on the prevalence of fever in children with COVID-19.
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- 2024
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11. Outpatient treatment of COVID-19 and incidence of post-COVID-19 condition over 10 months (COVID-OUT): a multicentre, randomised, quadruple-blind, parallel-group, phase 3 trial.
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Bramante, Carolyn T, Buse, John B, Liebovitz, David M, Nicklas, Jacinda M, Puskarich, Michael A, Cohen, Ken, Belani, Hrishikesh K, Anderson, Blake J, Huling, Jared D, Tignanelli, Christopher J, Thompson, Jennifer L, Pullen, Matthew, Wirtz, Esteban Lemus, Siegel, Lianne K, Proper, Jennifer L, Odde, David J, Klatt, Nichole R, Sherwood, Nancy E, Lindberg, Sarah M, and Karger, Amy B
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CLINICAL trials , *COVID-19 treatment , *POST-acute COVID-19 syndrome , *COVID-19 pandemic , *DIAGNOSIS - Abstract
Post-COVID-19 condition (also known as long COVID) is an emerging chronic illness potentially affecting millions of people. We aimed to evaluate whether outpatient COVID-19 treatment with metformin, ivermectin, or fluvoxamine soon after SARS-CoV-2 infection could reduce the risk of long COVID. We conducted a decentralised, randomised, quadruple-blind, parallel-group, phase 3 trial (COVID-OUT) at six sites in the USA. We included adults aged 30–85 years with overweight or obesity who had COVID-19 symptoms for fewer than 7 days and a documented SARS-CoV-2 positive PCR or antigen test within 3 days before enrolment. Participants were randomly assigned via 2 × 3 parallel factorial randomisation (1:1:1:1:1:1) to receive metformin plus ivermectin, metformin plus fluvoxamine, metformin plus placebo, ivermectin plus placebo, fluvoxamine plus placebo, or placebo plus placebo. Participants, investigators, care providers, and outcomes assessors were masked to study group assignment. The primary outcome was severe COVID-19 by day 14, and those data have been published previously. Because the trial was delivered remotely nationwide, the a priori primary sample was a modified intention-to-treat sample, meaning that participants who did not receive any dose of study treatment were excluded. Long COVID diagnosis by a medical provider was a prespecified, long-term secondary outcome. This trial is complete and is registered with ClinicalTrials.gov , NCT04510194. Between Dec 30, 2020, and Jan 28, 2022, 6602 people were assessed for eligibility and 1431 were enrolled and randomly assigned. Of 1323 participants who received a dose of study treatment and were included in the modified intention-to-treat population, 1126 consented for long-term follow-up and completed at least one survey after the assessment for long COVID at day 180 (564 received metformin and 562 received matched placebo; a subset of participants in the metformin vs placebo trial were also randomly assigned to receive ivermectin or fluvoxamine). 1074 (95%) of 1126 participants completed at least 9 months of follow-up. 632 (56·1%) of 1126 participants were female and 494 (43·9%) were male; 44 (7·0%) of 632 women were pregnant. The median age was 45 years (IQR 37–54) and median BMI was 29·8 kg/m2 (IQR 27·0–34·2). Overall, 93 (8·3%) of 1126 participants reported receipt of a long COVID diagnosis by day 300. The cumulative incidence of long COVID by day 300 was 6·3% (95% CI 4·2–8·2) in participants who received metformin and 10·4% (7·8–12·9) in those who received identical metformin placebo (hazard ratio [HR] 0·59, 95% CI 0·39–0·89; p=0·012). The metformin beneficial effect was consistent across prespecified subgroups. When metformin was started within 3 days of symptom onset, the HR was 0·37 (95% CI 0·15–0·95). There was no effect on cumulative incidence of long COVID with ivermectin (HR 0·99, 95% CI 0·59–1·64) or fluvoxamine (1·36, 0·78–2·34) compared with placebo. Outpatient treatment with metformin reduced long COVID incidence by about 41%, with an absolute reduction of 4·1%, compared with placebo. Metformin has clinical benefits when used as outpatient treatment for COVID-19 and is globally available, low-cost, and safe. Parsemus Foundation; Rainwater Charitable Foundation; Fast Grants; UnitedHealth Group Foundation; National Institute of Diabetes, Digestive and Kidney Diseases; National Institutes of Health; and National Center for Advancing Translational Sciences. [ABSTRACT FROM AUTHOR]
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- 2023
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12. Metformin reduces SARS-CoV-2 in a Phase 3 Randomized Placebo Controlled Clinical Trial.
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Bramante CT, Beckman KB, Mehta T, Karger AB, Odde DJ, Tignanelli CJ, Buse JB, Johnson DM, Watson RHB, Daniel JJ, Liebovitz DM, Nicklas JM, Cohen K, Puskarich MA, Belani HK, Siegel LK, Klatt NR, Anderson B, Hartman KM, Rao V, Hagen AA, Patel B, Fenno SL, Avula N, Reddy NV, Erickson SM, Fricton RD, Lee S, Griffiths G, Pullen MF, Thompson JL, Sherwood N, Murray TA, Rose MR, Boulware DR, and Huling JD
- Abstract
Current antiviral treatment options for SARS-CoV-2 infections are not available globally, cannot be used with many medications, and are limited to virus-specific targets.
1-3 Biophysical modeling of SARS-CoV-2 replication predicted that protein translation is an especially attractive target for antiviral therapy.4 Literature review identified metformin, widely known as a treatment for diabetes, as a potential suppressor of protein translation via targeting of the host mTor pathway.5 In vitro, metformin has antiviral activity against RNA viruses including SARS-CoV-2.6,7 In the COVID-OUT phase 3, randomized, placebo-controlled trial of outpatient treatment of COVID-19, metformin had a 42% reduction in ER visits/hospitalizations/death through 14 days; a 58% reduction in hospitalizations/death through 28 days, and a 42% reduction in Long COVID through 10 months.8,9 Here we show viral load analysis of specimens collected in the COVID-OUT trial that the mean SARS-CoV-2 viral load was reduced 3.6-fold with metformin relative to placebo (-0.56 log10 copies/mL; 95%CI, -1.05 to -0.06, p=0.027) while there was no virologic effect for ivermectin or fluvoxamine vs placebo. The metformin effect was consistent across subgroups and with emerging data.10,11 Our results demonstrate, consistent with model predictions, that a safe, widely available,12 well-tolerated, and inexpensive oral medication, metformin, can be repurposed to significantly reduce SARS-CoV-2 viral load.- Published
- 2023
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